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All issues Volume 250 (2018) MATEC Web Conf., 250 (2018) 05002 References
Open Access
Issue
MATEC Web Conf.
Volume 250, 2018
The 12th International Civil Engineering Post Graduate Conference (SEPKA) – The 3rd International Symposium on Expertise of Engineering Design (ISEED) (SEPKA-ISEED 2018)
Article Number 05002
Number of page(s) 11
Section Construction Management
DOI https://doi.org/10.1051/matecconf/201825005002
Published online 11 December 2018
  1. G. H. Jarad. The construction manager leading characteristics for the success of construction projects in the Gaza Strip. The Islamic university of Gaza: M.Sc. Thesis, (2012) [Google Scholar]
  2. A. A. Tabassi, M. Argyropoulou, K. M. Roufechaei & R. Argyropoulou. Leadership Behavior of Project Managers in Sustainable Construction Projects. Procedia Computer Science, 100, 724-730, (2016) [CrossRef] [Google Scholar]
  3. G. Ofori, S. U. R. Toor. Leadership and Construction Industry Development in Developing Countries. Journal of Construction in Developing Countries, 17 (2012) [CrossRef] [Google Scholar]
  4. Saudi Arabia Infrastructure Report Q1 2017: Retrieved on January 2018 from http://www.prnewswire.com/news-releases/saudi-arabia-infrastructure-report-q12017-300380631.html [Google Scholar]
  5. N. Alotaibi, M. Sutrisna, & H. Chong. Managing Critical Factors Causing Delays In Public Construction Projects In Kingdom Of Saudi Arabia. Curtin University: Ph.D Thesis, (2014) [Google Scholar]
  6. G. S. A. Elawi, M. Algahtany & D. Kashiwagi. Owners’ Perspective of Factors Contributing to Project Delay: Case Studies of Road and Bridge Projects in Saudi Arabia. Procedia Engineering, 145, 1402-1409, (2016) [CrossRef] [Google Scholar]
  7. F. A. Gul, & A. M. Ali. Saudi Crane Collapse Masjid al-Haram (Lack of Safety). IJRDO-Journal of Social Science and Humanities Research, 8 (1), (2016) [Google Scholar]
  8. N. Al-Emad, and I. A. Rahman. An initial investigation on the challenges of managing construction workforce in Saudi Arabia. IOP Conference Series: Materials Science and Engineering. Vol. 271. No. 1. IOP Publishing, (2017) [CrossRef] [Google Scholar]
  9. R. Almannaee. Migrant workers in the construction industry in United Arab Emirates (UAE): The role of the Ministries of Labour and Foreign Affairs in enforcing fair payments and minimum wages M.Sc. Thesis (The Hague: Int. Institute of Social Studies) pp 11-64, (2014) [Google Scholar]
  10. J. B. Andrieu, A. Ucla, M. Lee. Addressing workers’ rights in the engineering and construction sector – Opportunities for collaboration BSR Working Paper (San Francisco: Humanity United) pp 12-38, (2016) [Google Scholar]
  11. G. Ofori. Leadership for future construction industry: Agenda for authentic leadership. International Journal of Project Management, 26 (6), 620-630, (2008) [CrossRef] [Google Scholar]
  12. B. Benator, A. Thumann. Project Management &Leadership Skills for Engineering & Construction Projects, CRC Press. Unites States, (2003) [CrossRef] [Google Scholar]
  13. N. A. N. Nasaruddin, I. A. Rahman. Exploratory Study on Malaysia Construction Leadership. In MATEC Web of Conferences (Vol. 103, p. 03005). EDP Sciences (2017) [CrossRef] [EDP Sciences] [Google Scholar]
  14. I. A. Rahman, N. Al-Emad, & S. Nagapan. Projects delay factors of Saudi Arabia construction industry using PLS-SEM path modelling approach. In MATEC Web of Conferences (Vol. 81, p. 07001). EDP Sciences, (2016) [CrossRef] [EDP Sciences] [Google Scholar]
  15. N. Al-Emad. Structural relationships model of delay factors in Makkah construction industry (Master dissertation, Universiti Tun Hussein Onn Malaysia, (2016) [Google Scholar]
  16. B. Nikmehr, M. R. Hosseini, R. Rameezdeen, N. Chileshe, P. Ghoddousi & M. Arashpour. An integrated model for factors affecting construction and demolition waste management in Iran. Engineering, Construction and Architectural Management, 24(6), 1246-1268, (2017) [CrossRef] [Google Scholar]
  17. J. Hulland. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, Vol. 20, No. 2, pp. 195-204, (1999) [CrossRef] [Google Scholar]
  18. A. A. Aibinu, F. Y. Y. Ling & G. Ofori. Structural equation modelling of organizational justice and cooperative behaviour in the construction project claims process: contractors' perspectives. Construction Management and Economics, 29(5), 463-481, (2011) [CrossRef] [Google Scholar]
  19. I. A. Rahman & S. Nagapan. Causative factors of Construction waste generation in Malaysia. Universiti Tun Hussein Onn: Penerbit UTHM, (2015) [Google Scholar]
  20. C. Fornell & D. F. Larcker. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50, (1981) [Google Scholar]
  21. J. F. Hair, G. T. M. Hult, C. M. Ringle & M. Sarstedt. A Primer on Partial Least Squares Structural Equation Modeling (PlS-SEM). United State of America: SAGE Publications, (2017) [Google Scholar]
  22. A. A. Aibinu & A. M. Al-Lawati. Using PLS-SEM technique to model construction organizations' willingness to participate in e-bidding. Automation in construction, 19(6), 714-724, (2010) [CrossRef] [Google Scholar]
  23. J. Cohen. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. New Jersey: Lawrence Erlbaum Associates Publishers (1988) [Google Scholar]
  24. S. Akter J. D'Ambra & P. Ray. An evaluation of PLS based complex models: the roles of power analysis, predictive relevance and GoF index. Proceedings of the 17th Americas Conference on Information Systems (AMCIS2011) (pp. 1-7). Detroit, USA: Association for Information Systems, (2011) [Google Scholar]
  25. J. Henseler. Partial least squares path modeling. In Advanced methods for modeling markets (pp. 361-381). Springer, Cham, (2017) [CrossRef] [Google Scholar]

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